How to plan and instrument your customer data layer
Learn how to develop and implement a data layer instrumentation plan that aligns with your business and techical goals and provides you with a centralized source of clean customer data to power product and marketing initiatives.
The Customer Data Platform vendor landscape
The customer data platform vendor landscape is confusing, but can be segmented along three dimensions: business model, data sources, and customer type. This post explains each one, so you can separate signal from noise and identify the right CDP for your business.
Validity: The fifth V of Big Data
The Four V's of Big Data have been an industry standard since their introduction, but the increasing concerns about privacy recently have led to the need of a fifth V: Validity.
Mobile FinServ: What traditional financial institutions need to do to survive
With the rise of mobile-first FinServe, traditional financial companies have to change the way they approach modern customers or face failure.
ScyllaDB Migration: How to design high throughput and low latency NoSQL deployments
Yuan Ren, Head of Data Science at mParticle, discusses our ScyllaDB migration and how to process 50 billion monthly messages via NoSQL deployments.
App development: Planning for the long term
Long-term thinking is valuable when trying to meet any goal, and app development is no exception. However, long-term can be as short as a few weeks.